EP1557057A2 - Verfahren zur kanalqualitätsvorhersage für drahtlose kommunikationssysteme - Google Patents

Verfahren zur kanalqualitätsvorhersage für drahtlose kommunikationssysteme

Info

Publication number
EP1557057A2
EP1557057A2 EP03781633A EP03781633A EP1557057A2 EP 1557057 A2 EP1557057 A2 EP 1557057A2 EP 03781633 A EP03781633 A EP 03781633A EP 03781633 A EP03781633 A EP 03781633A EP 1557057 A2 EP1557057 A2 EP 1557057A2
Authority
EP
European Patent Office
Prior art keywords
channel
cqi
measurements
downlink
receiver
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP03781633A
Other languages
English (en)
French (fr)
Other versions
EP1557057A4 (de
Inventor
Philip J. Pietraski
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
InterDigital Technology Corp
Original Assignee
InterDigital Technology Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by InterDigital Technology Corp filed Critical InterDigital Technology Corp
Publication of EP1557057A2 publication Critical patent/EP1557057A2/de
Publication of EP1557057A4 publication Critical patent/EP1557057A4/de
Ceased legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/26—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
    • H04W52/262—TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service] taking into account adaptive modulation and coding [AMC] scheme
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/20—Monitoring; Testing of receivers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/20—Monitoring; Testing of receivers
    • H04B17/26—Monitoring; Testing of receivers using historical data, averaging values or statistics
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/373—Predicting channel quality or other radio frequency [RF] parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/382—Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0015—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
    • H04L1/0019—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy in which mode-switching is based on a statistical approach
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H04L1/0026—Transmission of channel quality indication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/06—TPC algorithms
    • H04W52/14—Separate analysis of uplink or downlink
    • H04W52/143—Downlink power control
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/22—TPC being performed according to specific parameters taking into account previous information or commands
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/24—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
    • H04W52/241—TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters taking into account channel quality metrics, e.g. SIR, SNR, CIR, Eb/lo
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/20—Monitoring; Testing of receivers
    • H04B17/24—Monitoring; Testing of receivers with feedback of measurements to the transmitter
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H04L1/0025—Transmission of mode-switching indication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/22—TPC being performed according to specific parameters taking into account previous information or commands
    • H04W52/223—TPC being performed according to specific parameters taking into account previous information or commands predicting future states of the transmission
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/22—TPC being performed according to specific parameters taking into account previous information or commands
    • H04W52/226—TPC being performed according to specific parameters taking into account previous information or commands using past references to control power, e.g. look-up-table
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/04—TPC
    • H04W52/18—TPC being performed according to specific parameters
    • H04W52/22—TPC being performed according to specific parameters taking into account previous information or commands
    • H04W52/228—TPC being performed according to specific parameters taking into account previous information or commands using past power values or information

Definitions

  • the present invention generally relates to wireless communication systems. More particularly, the present invention is a method employed by a wireless communication system for improved channel quality indication in dynamic link adaption.
  • Various algorithms are currently used by present wireless communication systems for estimating channel quality at a wireless receiver. These algorithms are employed, for example, in systems using the Third Generation Partnership Project (3GPP) High Chip Rate Time Division Duplex (TDD) mode, the 3GPP Low Chip Rate TDD mode, the 3GPP Frequency Division Duplex (FDD) mode, the time division — synchronous code division multiple access (TD-SCDMA) standard, and High Speed Downlink Packet Access (HSDPA) extensions of the aforementioned systems.
  • the quality estimates may be used for transmit power control, in- and out-of-synchronization decisions, radio link failure decisions, and channel quality indicators (CQIs) to support dynamic link adaptation, (e.g., adaptive modulation and coding (AMC)) techniques.
  • CQIs channel quality indicators
  • AMC adaptive modulation and coding
  • TFRC Transport Format Resource Combination
  • the CQI could represent a recommended Transport Block Size, modulation format, number of codes, power offsets, or any one of a number of different types of link adaptation parameters. These CQIs are derived by a receiver and signaled to a transmitter to set the transmission parameters for a subsequent transmission.
  • the CQI typically provides either specific link adaptation information, such as a recommended coding and modulation scheme for the AMC function, or provides one or more general quality indicators which are subsequently used to base the selection of appropriate transmission parameters.
  • specific link adaptation information such as a recommended coding and modulation scheme for the AMC function
  • general quality indicators which are subsequently used to base the selection of appropriate transmission parameters.
  • the selected modulation and coding scheme (or other transmission parameters) will be suboptimal. Overestimating channel quality can cause the UE and Node B to continue attempting to use a modulation and coding scheme when reception quality is too poor to justify their continued use. Underestimation of channel quality may lead to excessive transmission power and inefficient use of radio recourses or, in the case of in- and out-of-sync processing, ultimately a premature declaration of radio link failure and release of radio resources.
  • a call may be dropped without cause.
  • Excessive transmission power will, in turn, lead to a system-level throughput loss since interference in other cells may increase needlessly. Accordingly, inaccurate channel quality estimation reduces throughput, wastes transmit power, and increases interference to other cells.
  • a shortcoming of prior art channel estimation techniques is that since the techniques estimate channel quality at a receiver, they do not provide sufficiently accurate estimates of channel quality at the transmitter at the time of the subsequent transmission.
  • a prior art CQI generation and reporting procedure 100 between a UE and a Node B is shown.
  • the Node B transmits a message on a downlink (DL) control channel (step 102), informing the UE which resources have been allocated to the UE for the next associated DL data transmission.
  • the UE receives the control message regarding the allocation of resources and awaits the receipt of the DL data transmission (step 104).
  • the Node B sends the associated DL data transmission (step 106).
  • the UE reads the DL data transmission (step 108) and makes selective quality measurements (step 110). Using the measurements from step 110, the UE derives a CQI (step 112) that it estimates would provide the highest throughput, while still meeting other possibly specified requirements, such as a block error rate (BLER).
  • a CQI step 112 that it estimates would provide the highest throughput, while still meeting other possibly specified requirements, such as a block error rate (BLER).
  • BLER block error rate
  • the UE then reports the most recently derived CQI to the Node B in the next available UL control channel (step 114).
  • the Node B receives the CQI (step 116) and then uses the CQI to set the transmission parameters for the next data transmission (step 118).
  • the C QI measurement period on one or more DL transmissions, during which the UE makes selective measurements on the DL transmission.
  • the measurements may be performed on a DL data channel, a DL pilot channel, or a combination of both the DL data and pilot channels.
  • the CQI is calculated; this is shown at time t r
  • the delay is minimized by reporting the CQI to the Node B at the next available UL transmission (shown at time t 2 )
  • there is additional delay until the subsequent use by the Node B of the CQI (shown at time t 3 ) to set the parameters for the next downlink data transmission.
  • the delay (graphically designated as A) between the completion of the measurements upon which the CQI is based (at time t )and the subsequent use by the Node B to set the associated transmission parameters at time t 3 results in a CQI that is not accurate by the time it is used by the Node B.
  • the DL channel quality will ultimately suffer since the transmission parameters will be based on a CQI that does not accurately reflect the true channel conditions. In essence, the prior art methods of CQI determination reflect the past conditions of the channel.
  • the present invention provides a method of improved performance through channel quality prediction for communications systems employing link adaption techniques.
  • a receiver makes selective measurements on DL transmissions and then stores one or more of the measurements or a channel quality indicator derived therefrom.
  • the receiver then retrieves one or more of the past measurements (or the past channel quality estimates themselves), and combines it with current measurements (or the current channel quality estimate), to predict what the channel quality will be at some future time to derive a predictive channel quality indicator (CQI).
  • CQI predictive channel quality indicator
  • Figure 1 is a flow diagram of a method for CQI generation and reporting in accordance with the prior art.
  • Figure 2 is a timing diagram showing the delay associated with the prior art CQI reporting method of Figure 1.
  • Figure 3 is a predictive CQI generation and reporting method in accordance with a preferred embodiment of the present invention.
  • Figure 4 is a predictive CQI generation and reporting method in accordance with a first alternative embodiment of the present invention.
  • Figure 5 is a predictive CQI generation and reporting method in accordance with a second alternative embodiment of the present invention.
  • Figure 6 is a timing diagram showing the elimination of the inherent CQI delay associated with the embodiments of the present invention shown in Figures 3 and 4.
  • Figure 7 is a graph showing the distribution of the difference between the CQI generation and reporting process in accordance with the prior art and the predictive CQI generation and reporting process in accordance with the present invention. [0028] This application uses the following acronyms:
  • a wireless transmit/receive unit includes but is not limited to a UE, mobile station, fixed or mobile subscriber unit, pager, or any other type of device capable of operating in a wireless environment. Each of these terms may be used interchangeably herein.
  • a Node B includes but is not limited to a base station, site controller, access point or any other type of interfacing device in a wireless environment. Each of these terms may be used interchangeably herein.
  • the present invention is applicable to any communication system employing a scheme which monitors channel quality and adapts the transmission parameters of subsequent transmissions based upon the channel quality, such as AMC or other forms of radio link adaptation.
  • the CQI is a predictive indicator of the quality of future channel conditions. While either a Node B or WTRU may perform such predictions, the present invention will be described hereinafter as being performed at the WTRU. Additionally, although the invention will be described as a receiver performing measurements and deriving the CQI, it is equally possible for the receiver to perform the measurements and transmit the measurements to the transmitter which then derives the CQI.
  • the present invention is equally applicable to the uplink (UL) or DL transmissions, such as in the case of link adaptation in the UL, where the roles of the WTRU and the Node B as described hereinafter will be reversed.
  • UL uplink
  • DL downlink
  • the roles of the WTRU and the Node B as described hereinafter will be reversed.
  • the present invention recognizes that channel fading conditions may change substantially from slot to slot. By allowing (but not requiring) CQI prediction on a per slot basis, the prediction of channel quality can be improved. The channel quality reported to the transmitter can therfore be made more accurate, compared to the prior art situations.
  • a procedure 200 for generating and reporting a CQI in accordance with the present invention is shown.
  • the procedure 200 is initiated by the Node B transmitting a downlink control message regarding the allocation of resources to the WTRU (step 202).
  • the WTRU receives the control message regarding the allocation of resources on the downlink control channel (step 204).
  • the message informs the WTRU of the timing of a subsequent data transmission, and of the transmission parameters of the subsequent data transmission (for example, the type of modulation, coding, etc.).
  • the Node B then sends a downlink data transmission to the WTRU (step 206) which is received by the WTRU (step 208).
  • the WTRU makes selective CQI measurements regarding the downlink data transmission (step 210), derives the current CQI (step 212), and then determines a predictive CQI (step 214). As part of step 214, the WTRU stores one or more of the CQI measurements and/or the CQI for later use in determining the predictive CQI. Additionally, it should be noted that it is not necessary to derive a current CQI in order to determine the predictive CQI. Thus, step 212 could be considered optional in this embodiment. For example, past CQI measurements may be combined with current CQI measurements to derive a predictive CQI.
  • the predictive CQI is derived from both current measurements and at least one past measurement.
  • the WTRU retrieves one or more of the past CQI measurements (or the past CQI themselves), and combines it with the current CQI measurement (or current CQI), to predict the quality of future channel conditions.
  • the prediction method used in step 214 to derive the predictive CQI is the Linear Prediction method. This is a well known mathematical technique for predicting future values based upon the combination of current and past information.
  • the Linear Prediction method minimizes the prediction error in the least squares sense.
  • the signal-to-interference ratio (SIR) expressed in dB is the quantity being predicted.
  • SIR signal-to-interference ratio
  • the WTRU reports the predictive CQI to the Node B (step 216) and the Node B receives the predictive CQI at step 218.
  • the Node B uses the predictive CQI to set transmission parameters for the next transmission (step 220).
  • steps 210, 212, and 214 may be combined into a single step 408 for determining the predictive CQI. All other steps in Figure 4 remain the same as the steps described with reference to Figure 3.
  • steps 202 and 204 need not be part of the procedure 500, whereby the WTRU automatically receives the DL data transmission without a prior DL control message.
  • the present invention derives a predictive CQI which predicts the future conditions of a communication channel.
  • the present invention makes current measurements, but predicts and reports to the Node B a predictive CQI which esitmates future channel conditions.
  • this predictive CQI is derived from both a current CQI measurement or current CQI derived therefrom and at least one past CQI measurement or past CQI derived therefrom that has been stored.
  • the predictive CQI estimates the quality of the channel conditions closer to the time the Node B is ready to transmit.
  • the CQI is shown as being derived from only a single data channel, the UE may use the DL data transmission (of step 206), any available pilot signals, or combinations of both to derive the CQI.
  • the predictive CQI will be much more likely to reflect the actual channel conditions that the Node B will experience when it is ready to send another transmission, rather than a CQI measurement that is reflective of a past transmission, as shown in Figures 1 and 2.
  • the WTRU makes the current CQI measurement at the same time as the prior art scheme (at time t.), and then combines it with the prior CQI measurements for transmission to the Node B at the same time as the prior art scheme (at time t 2 ), the WTRU in accordance with the present invention predicts what the channel condition will be at time t 3 .
  • the reported CQI can be computed to reflect the channel quality that will exist at the time of the next DL data transmission, thereby making the selected code rate, modulation type and other link adaption parameters more accurate.
  • Figure 6 shows the CQI measurements being performed on both the DL data channel and the DL pilot channel, it would be understood by those of skill in the art that the CQI measurements may be performed solely on a DL data channel, solely on a DL pilot channel, or performed on a combination of both the DL data and pilot channels.
  • Figure 7 shows how using the prediction scheme used in accordance with the present invention can be employed to improve the reporting accuracy of channel quality conditions at the time of the actual transmission, thereby improving the perference of any dynamic link adaption systems.
  • a distribution of the difference between the SIR measured and the SIR at the time the SIR is used is shown. In this example, the delay is 10 msec.
  • curve A There are two probability distribution curves shown, one for the prior art method of sending a CQI measurement based on past channel conditions, illustrated as curve A, and the second for the current method of sending a predictive CQI measurement based upon a future channel condition, illustrated as curve B.
  • curve B With the present invention (curve B), there is a higher likelihood that an associated error will be smaller, and a lower likelihood that an associated error will be larger, than with the curve A of the prior art method.
  • the distribution for the prediction signal in accordance with the present invention is more concentrated near zero error than the delayed signal of the prior art, indicating that the CQI reporting errors are smaller when using predictive CQI.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Detection And Prevention Of Errors In Transmission (AREA)
EP03781633A 2002-11-01 2003-10-31 Verfahren zur kanalqualitätsvorhersage für drahtlose kommunikationssysteme Ceased EP1557057A4 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US42362002P 2002-11-01 2002-11-01
US423620P 2002-11-01
PCT/US2003/034725 WO2004042982A2 (en) 2002-11-01 2003-10-31 Method for channel quality prediction for wireless communication systems

Publications (2)

Publication Number Publication Date
EP1557057A2 true EP1557057A2 (de) 2005-07-27
EP1557057A4 EP1557057A4 (de) 2006-12-13

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EP03781633A Ceased EP1557057A4 (de) 2002-11-01 2003-10-31 Verfahren zur kanalqualitätsvorhersage für drahtlose kommunikationssysteme

Country Status (10)

Country Link
US (2) US7912490B2 (de)
EP (1) EP1557057A4 (de)
JP (2) JP2006505221A (de)
KR (3) KR100988535B1 (de)
CN (1) CN1709001B (de)
AU (1) AU2003287399A1 (de)
CA (1) CA2502844A1 (de)
NO (1) NO20052411L (de)
TW (3) TWI245523B (de)
WO (1) WO2004042982A2 (de)

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